Subway public place pedestrian volume analysis method based on machine vision

The invention discloses a subway public place people flow analysis method based on machine vision, and the method comprises the steps: S1, obtaining historical video flow data photographed by a subwaycamera, and extracting a subway people flow training data set; S2, loading a pre-training model of the YOLOv3 network, and initializing a network weight; S3, inputting the INRIA pedestrian data set and the subway pedestrian flow data training set into a YOLOv3 network for training to obtain a real target box label; S4, adding N times of up-sampling operation to obtain N feature maps with smallerscales, and changing the size of the input image; S5, performing network coarse training on the mixed data set, and optimizing the number, width and height of target boxes; S6, performing network finetraining on the subway people flow training data set; S7, detecting the subway people flow test data set by using the trained network model, and counting people flow; and evaluating the performance of the network model. The me